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            <h1>Data Science Challenge / Competition
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            Here offer a list of links to various sources in which you may have an interest. 
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<div id="kaggle" class="PF-host">
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            <a href="https://www.kaggle.com/"><b>Kaggle</b></a>
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            <div class="note">Kaggle is an online community of data scientists and machine learners, owned by Google, Inc. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle got its start by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and short form AI education. On 8 March 2017, Google announced that they were acquiring Kaggle. <br>(from <a href="https://en.wikipedia.org/wiki/Kaggle">wiki</a>) 
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        <img src="https://i.loli.net/2019/02/10/5c5f9169b0a87.png" alt="Kaggle" class='img-responsive center-block'>
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<div id="drivendata" class="PF-host">
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            <a href="https://www.drivendata.org/"><b>DrivenData</b></a>
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            <div class="note">DrivenData works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services. 
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        <img src="https://i.loli.net/2019/02/10/5c5f97c5a9518.png" alt="DrivenData" class='img-responsive center-block'>
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<div id="codalab" class="PF-host">
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            <a href="https://competitions.codalab.org"><b>CodaLab</b></a>
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            <div class="note">CodaLab is an open-source web-based platform that enables researchers, developers, and data scientists to collaborate, with the goal of advancing research fields where machine learning and advanced computation is used. CodaLab helps to solve many common problems in the arena of data-oriented research through its online community where people can share worksheets and participate in competitions. <br>Documentation: <a href='https://github.com/codalab/codalab/wiki'>CodaLab Wiki</a> from <a href='https://github.com/codalab/codalab-competitions'>Github</a> 
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        <img src="https://i.loli.net/2019/02/10/5c5f997e9679d.png" alt="CodaLab" class='img-responsive center-block'>
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<div id="challenge_Data" class="PF-host">
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            <a href="https://challengedata.ens.fr"><b>Challenge Data</b></a>
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            <div class="note">The Challenge Data platform hosts machine learning challenges, based on data provided by large groups, start-ups or research labs. They are addressed to students, data scientists and researchers in machine learning and statistics. 
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        <img src="https://i.loli.net/2019/02/10/5c5faa6962bce.png" alt="Challenge Data" class='img-responsive center-block'>
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<div id="crowdai" class="PF-host">
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            <a href="https://www.crowdai.org"><b>crowdAI (shutting down)</b></a>
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            <div class="note">crowdAI is a platform for open data science challenges. crowdAI helps universities, government agencies, NGOs, or businesses to run and manage their data challenges. The crowdAI platform is a non-profit, open source infrastructure that can immediately reach thousands of data scientists around the world to work on interesting data problems. 
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        <img src="https://i.loli.net/2019/02/10/5c5fab0aa7cc0.png" alt="crowdAI (shutting down)" class='img-responsive center-block'>
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<div id="aicrowd" class="PF-host">
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            <a href="https://www.aicrowd.com"><b>AIcrowd</b></a>
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            <div class="note">AIcrowd is a platform for streamlining your AI workflow - internally, or externally, by running AI, machine learning, and other data science challenges. AIcrowd helps organizations - whether businesses, universities, government agencies or NGOs - develop, manage, and promote their challenges.  
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        <img src="https://i.loli.net/2019/07/23/5d36619fc463991441.png" alt="AIcrowd" class='img-responsive center-block'>
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<div id="EvalAI" class="PF-host AC-host">
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            <a href="https://evalai.cloudcv.org"><b>EvalAI</b></a>
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            <div class="note">EvalAI is built by a team of open source enthusiasts working at <a href='http://cloudcv.org'>CloudCV</a>. CloudCV aims to make AI research reproducible and easily accessible. We want to reduce the barrier to entry for doing research and make it easier for researchers, students and developers to develop and use state-of-the-art algorithms as a service. 
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        <img src="https://i.loli.net/2019/02/15/5c668b7559544.png" alt="EvalAI" class='img-responsive center-block'>
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<div id="numerai" class="PF-host">
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            <a href="https://numer.ai/homepage"><b>Numerai</b></a>
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            <div class="note">(<b>Untapped</b>) The stock market is inefficient with respect to new developments in machine learning — only a fraction of the world's data scientists have access to its data. Numerai is changing this. Because Numerai abstracts its financial data, data scientists do not know what the data represents and human biases and overfitting are overcome. (<a href='https://numer.ai/learn'>How Numerai works</a>) 
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        <img src="https://i.loli.net/2019/02/10/5c5fad07b9ed7.png" alt="Numerai" class='img-responsive center-block'>
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<div id="signate" class="PF-host">
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            <a href="https://signate.jp"><b>Signate</b></a>
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            <div class="note">SIGNATEには様々な分野の優秀なデータサイエンティストが登録しています。AI開発やデータ分析のテーマごとに多数のデータサイエンティストが精度やアイデアを競うコンペティションにより、最高品質のAIを開発することができます。コンペを通じて人材採用、人材育成、ベンダー評価など、様々な課題のソリューションが可能となります。 
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        <img src="https://i.loli.net/2019/02/10/5c5fbb19110f7.png" alt="Signate" class='img-responsive center-block'>
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<div id="crowdanalytix" class="PF-host">
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            <a href="https://www.crowdanalytix.com"><b>CrowdANALYTIX</b></a>
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            <div class="note">CrowdANALYTIX is a platform for building high-precision, custom AI solutions.Our unique modular approach of building AI modules, each tuned to a single task, and combining those modules to deliver the final solution results in much higher precision than more generic AI models. 
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        <img src="https://i.loli.net/2019/05/16/5cdd2484bcae188297.png" alt="CrowdANALYTIX" class='img-responsive center-block'>
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<div id="unearthed" class="PF-host">
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            <a href="https://unearthed.solutions/u/"><b>Unearthed</b></a>
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            <div class="note">We believe in the power of entrepreneurship to transform individuals and communities, to create economic opportunities, and to address global challenges. 
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        <img src="https://i.loli.net/2019/02/10/5c5fb3de35c83.png" alt="Unearthed" class='img-responsive center-block'>
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<div id="analyticsvidhya" class="PF-host">
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            <a href="https://datahack.analyticsvidhya.com/contest/all/"><b>Analytics Vidhya</b></a>
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            <div class="note">Analytics Vidhya brings you the power of community that comprises of data practitioners, thought leaders and corporates leveraging data to generate value for their businesses. Learn from the resources developed by experts at AnalyticsVidhya, participate in hackathons, master your skills with latest data science problems and showcase your skills to the world. 
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        <img src="https://i.loli.net/2019/02/10/5c5fb4df4523f.png" alt="Analytics Vidhya" class='img-responsive center-block'>
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<div id="techgig" class="PF-host">
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            <a href="https://www.techgig.com/challenge"><b>TechGig</b></a>
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            <div class="note">(<b>Untapped</b>) TechGig.com是Times Internet旗下的竞争性编程和技术社区网站。 <br>At TechGig, we have always strived to give our community members an unmatched learning experience where they can take part in exciting <b>challenges</b> and <b>hackathons</b> and grow in the process. 
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        <img src="https://i.loli.net/2019/02/10/5c5fbc25e7b6a.png" alt="TechGig" class='img-responsive center-block'>
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<div id="hackerearth" class="PF-host">
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            <a href="https://www.hackerearth.com/zh/challenges/"><b>HackerEarch</b></a>
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            <div class="note">(<b>Untapped</b>) HackerEarth提供企业软件解决方案，帮助组织实现创新管理和技术招聘需求。到目前为止，HackerEarth已经进行了1000多次黑客马拉松和10,000多次编程挑战。自成立以来，HackerEarth已经建立了超过200万+的开发人员基础。 
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        <img src="https://i.loli.net/2019/02/10/5c5fbd0c34178.png" alt="HackerEarch" class='img-responsive center-block'>
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<div id="gecco_2019" class="AC-host">
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            <a href="https://gecco-2019.sigevo.org/index.html/HomePage"><b>GECCO 2019</b></a>
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            <div class="note">The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems (artificial life/robotics/evolvable hardware/generative and developmental systems/artificial immune systems), digital entertainment technologies and arts, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multiobjective optimization, evolutionary numerical optimization, real world applications, search-based software engineering, theory and more. 
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        <img src="https://i.loli.net/2019/02/10/5c5fc2fb893d1.png" alt="GECCO 2019" class='img-responsive center-block'>
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<div id="grand" class="AC-host">
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            <a href="https://grand-challenge.org/challenges/"><b>Grand Challenges in Biomedical Image Analysis</b></a>
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            <div class="note">Every year, thousands of papers are published that describe new algorithms to be applied to <b>medical and biomedical images</b>, and various new products appear on the market based on such algorithms. But few papers and products provide a fair and direct comparison of the newly proposed solution with the state-of-the-art. We believe that such comparisons can help the research community and industry to develop better algorithms. We support the organization of these comparative studies and the dissemination of their results. 
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        <img src="https://i.loli.net/2019/02/10/5c5fc577d84df.png" alt="Grand Challenges in Biomedical Image Analysis" class='img-responsive center-block'>
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<div id="Stanford_Machine_Learning_Group" class="AC-host">
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            <a href="https://stanfordmlgroup.github.io"><b>Stanford Machine Learning Group</b></a>
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            <div class="note">Our mission is to significantly improve people's lives through our work in Artificial Intelligence 
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        <img src="https://stanfordmlgroup.github.io/img/stanfordmlgrouplogo.svg" alt="Stanford Machine Learning Group" class='img-responsive center-block'>
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<div id="Stanford_NLP_Group" class="AC-host">
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            <a href="https://nlp.stanford.edu/blog/"><b>Stanford Natural Language Processing Group</b></a>
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            <div class="note">The Natural Language Processing Group at Stanford University is a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. <br><a href='https://stanfordnlp.github.io/coqa/'>CoQA: A Conversational Question Answering Challenge</a> <br><a href='https://rajpurkar.github.io/SQuAD-explorer/'>SQuAD2.0: The Stanford Question Answering Dataset</a> <br>... 
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        <img src="https://i.loli.net/2019/02/10/5c5fcfa3ab644.png" alt="Stanford Natural Language Processing Group" class='img-responsive center-block'>
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<div id="kelvins" class="AC-host">
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            <a href="https://kelvins.esa.int/"><b>Kelvins</b></a>
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            <div class="note">This website was created by the <a href='http://www.esa.int/gsp/ACT/index.html'>Advanced Concepts Team</a> of the European Space Agency in 2015. The website's purpose is to serve as a platform for space related competitions. <br>The title Kelvins is at the same time the theme for the website and originates from the unit for temperature named after the physicist <a href='https://en.wikipedia.org/wiki/William_Thomson,_1st_Baron_Kelvin'>William Lord Kelvin</a>. To reach the absolute zero error is the target of many machine learning related competitions.  
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        <img src="https://i.loli.net/2019/02/10/5c5fc70f26608.png" alt="Kelvins" class='img-responsive center-block'>
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<div id="herox" class="AC-host">
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            <a href="https://www.herox.com"><b>HeroX</b></a>
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            <div class="note">HeroX exists to enable anyone, anywhere in the world, to create a challenge that addresses any problem or opportunity, build a community around that challenge and activate the circumstances that can lead to a breakthrough innovation. 
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        <img src="https://i.loli.net/2019/02/23/5c70ba610a419.png" alt="HeroX" class='img-responsive center-block'>
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<div id="google_ai" class="AC-host">
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            <a href="https://ai.googleblog.com"><b>Google AI</b></a>
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            <div class="note">Google AI Blog | The lastest news from Google AI 
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        <img src="https://i.loli.net/2019/02/10/5c5fcb0894163.png" alt="Google AI" class='img-responsive center-block'>
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<div id="ICDAR" class="AC-host">
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            <a href="http://rrc.cvc.uab.es/"><b>ICDAR Robust Reading competitions</b></a>
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            <div class="note">The competition is organized around challenges that represent specific application domains for robust reading. Challenges are selected to cover a wide range of real-world situations. Each challenge is set up around different tasks. 
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        <img src="https://i.loli.net/2019/02/23/5c70b9e924ac0.png" alt="ICDAR Robust Reading competitions" class='img-responsive center-block'>
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<div id="ISBI_2019" class="AC-host">
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            <a href="https://biomedicalimaging.org/2019/challenges/"><b>ISBI 2019</b></a>
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            <div class="note">The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. 
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        <img src="https://i.loli.net/2019/02/10/5c5fd2ed2f995.png" alt="ISBI 2019" class='img-responsive center-block'>
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<div id="CVPR_2019" class="AC-host">
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            <a href="http://cvpr2019.thecvf.com"><b>CVPR 2019</b></a>
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            <div class="note">CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. 
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